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3745ebd6cd
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feat: implement v9c feature enforcement system
Deploy Development / deploy (push) Successful in 34s
Build Test / lint-backend (push) Successful in 0s
Build Test / build-frontend (push) Successful in 12s
Backend:
- Add feature access checks to insights, export, import endpoints
- Enforce ai_calls, ai_pipeline, data_export, csv_import limits
- Return HTTP 403 (disabled) or 429 (limit exceeded)
Frontend:
- Create useFeatureAccess hook for feature checking
- Create FeatureGate/FeatureBadge components
- Gate KI-Analysen in Analysis page
- Gate Export/Import in Settings page
- Show usage counters (e.g. "3/10")
Docs:
- Update CLAUDE.md with implementation status
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-03-20 12:43:41 +01:00 |
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b4a1856f79
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refactor: modular backend architecture with 14 router modules
Deploy Development / deploy (push) Successful in 58s
Build Test / lint-backend (push) Successful in 0s
Build Test / build-frontend (push) Successful in 13s
Phase 2 Complete - Backend Refactoring:
- Extracted all endpoints to dedicated router modules
- main.py: 1878 → 75 lines (-96% reduction)
- Created modular structure for maintainability
Router Structure (60 endpoints total):
├── auth.py - 7 endpoints (login, logout, password reset)
├── profiles.py - 7 endpoints (CRUD + current user)
├── weight.py - 5 endpoints (tracking + stats)
├── circumference.py - 4 endpoints (body measurements)
├── caliper.py - 4 endpoints (skinfold tracking)
├── activity.py - 6 endpoints (workouts + Apple Health import)
├── nutrition.py - 4 endpoints (diet + FDDB import)
├── photos.py - 3 endpoints (progress photos)
├── insights.py - 8 endpoints (AI analysis + pipeline)
├── prompts.py - 2 endpoints (AI prompt management)
├── admin.py - 7 endpoints (user management)
├── stats.py - 1 endpoint (dashboard stats)
├── exportdata.py - 3 endpoints (CSV/JSON/ZIP export)
└── importdata.py - 1 endpoint (ZIP import)
Core modules maintained:
- db.py: PostgreSQL connection + helpers
- auth.py: Auth functions (hash, verify, sessions)
- models.py: 11 Pydantic models
Benefits:
- Self-contained modules with clear responsibilities
- Easier to navigate and modify specific features
- Improved code organization and readability
- 100% functional compatibility maintained
- All syntax checks passed
Updated CLAUDE.md with new architecture documentation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-03-19 11:15:35 +01:00 |
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